I build intelligent applications that turn complex data into useful decisions, combining machine learning, natural language processing, computer vision, and scalable databases.
records queried through a structured analytics system.
A focused selection of work across computer vision, natural language processing, data engineering, and analytics.
A contactless attendance platform using real-time face recognition and biometric embeddings to reduce manual attendance operations.
A scalable text classification workflow that categorizes large volumes of unstructured text using pre-trained transformer models.
An interactive analytics application designed to query, analyze, and visualize more than 179,000 records through a structured PostgreSQL database.
I am a conference presenter and technical researcher focused on applied artificial intelligence and data-driven systems. My work connects research concepts with practical implementations and clear technical communication.
Technical research work prepared for presentation at an international conference. Paper title, abstract, and publication link should be added here before publishing.
Research focused on the relationship between data, intelligent systems, and practical engineering. Add the verified conference name and final contribution details here.
Translating complex technical ideas into structured presentations, documentation, and implementation-oriented explanations.
Work across data processing, machine learning, automation, technical documentation, and software delivery.
The strongest engineering signal is not a list of tools. It is the ability to connect data, models, code, documentation, and outcomes into a system another person can understand and use.
Worked across Python-based machine learning workflows, data-processing scripts, SQL automation, technical documentation, and GitHub-based development practices.
Continuing to deepen production-oriented skills across model evaluation, cloud deployment, API development, database architecture, and system design.
My work sits at the intersection of artificial intelligence, data science, software development, and technical communication.
I am interested in systems that move beyond model experimentation: reliable data flows, understandable interfaces, useful analytics, and engineering decisions that can be explained.
Python, SQL, C++, Java, HTML, CSS, JavaScript
Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI
Pandas, NumPy, Power BI, Statistical Modeling, Choice-Based Conjoint Analysis
Hugging Face, OpenCV, Streamlit, Git, GitHub, Linux
PostgreSQL, MySQL, Oracle Database, Oracle Cloud Infrastructure
Research clarity, structured thinking, documentation, practical delivery
For internships, technical collaborations, research discussions, or engineering opportunities, reach out directly. Replace the placeholder contact details below before publishing.